alexa Diagnostic Value of Diffusion-Weighted Whole-Body Imaging with Background Body Signal Suppression for the Detection of Acute Pyelonephritis in Children: Case-Control Study
ISSN: 2161-0959

Journal of Nephrology & Therapeutics
Open Access

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Research Article

Diagnostic Value of Diffusion-Weighted Whole-Body Imaging with Background Body Signal Suppression for the Detection of Acute Pyelonephritis in Children: Case-Control Study

Yasutaka Kuniyoshi*, Azusa Kamura, Sumie Yasuda and Makoto Tashiro

Department of Pediatrics, Tsugaruhoken Medical CO-OP Kensei Hospital, Japan

*Corresponding Author:
Yasutaka Kuniyoshi
Department of Pediatrics
Tsugaruhoken Medical CO-OP Kensei Hospital
2-2-1 Noda, Hirosaki, Aomori, Japan, 036-8511
Tel: +81172321171
Fax: +81-172-35-1678
E-mail:
[email protected]

Received Date: July 22, 2015; Accepted Date: August 23, 2015; Published Date: August 30, 2015

Citation: Kuniyoshi Y, Kamura A, Yasuda S, Tashiro M (2015) Diagnostic Value of Diffusion-Weighted Whole-Body Imaging with Background Body Signal Suppression for the Detection of Acute Pyelonephritis in Children: Case-Control Study. J Nephrol Ther 5:210. doi:10.4172/2161-0959.1000210

Copyright: © 2015 Kuniyoshi Y. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

Background: The objective of this study was to investigate the accuracy of diffusion-weighted whole-body imaging with background body signal suppression (DWIBS) as a diagnostic test for acute pyelonephritis (APN) in children.

Methods: Among inpatients under 15 years of age in a primary care setting, we retrospectively reviewed the medical records for 29 febrile children subjected to DWIBS to confirm or exclude APN. To assess the diagnostic value of DWIBS, the subjects were divided into 13 patients clinically diagnosed with APN and 16 non-APN patients. DWIBS findings were divided into positive, indeterminate, and negative based on visual observation.

Results: Likelihood ratios for positive, indeterminate, and negative prediction were 6.15 (95% CI, 1.90–19.97), 0.49 (95% CI, 0.13–1.83) and 0.14 (95% CI, 0.03–0.65), respectively.

Conclusions: This study is the first to estimate the accuracy of DWIBS for the detection of APN. Initial DWIBS is a sensitive method for the diagnosis of APN and can improve diagnostic performance.

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